Add dask-image quickstart documentation (#108)

* Add dask-image quickstart documentation

* Update quickstart.rst

* Make clearer location of quickstart notebook

* Link to dask array docs

* Use restructured text formatting, not markdown

* Don't recommend .compute() to dask-image beginners

docs/index.rst

@@ -18,6 +18,7 @@ Contents
    :maxdepth: 1
 
    installation
+   quickstart
    api
    contributing
    authors

docs/quickstart.rst

@@ -0,0 +1,72 @@
+.. highlight:: shell
+
+==========
+Quickstart
+==========
+
+
+Importing dask-image
+--------------------
+Import dask image is with an underscore, like this example:
+
+.. code-block:: python
+
+    import dask_image.imread
+    import dask_image.ndfilters
+
+
+Dask Examples
+-------------
+We highly recommend checking out the dask-image-quickstart.ipynb notebook 
+(and any other dask-image example notebooks) at the dask-examples repository.
+You can find the dask-image quickstart notebook in the ``applications`` folder
+of this repository:
+
+https://github.com/dask/dask-examples
+
+All the example notebooks are available to launch with
+mybinder and test out interactively.
+
+
+An Even Quicker Start
+---------------------
+
+You can read files stored on disk into a dask array
+by passing the filename, or regex matching multiple filenames
+into ``imread()``.
+
+.. code-block:: python
+
+    filename_pattern = 'path/to/image-*.png'
+    images = dask_image.imread.imread(filename_pattern)
+
+If your images are parts of a much larger image, 
+dask can stack, concatenate or block chunks together:
+http://docs.dask.org/en/latest/array-stack.html
+
+
+Calling dask-image functions is also easy.
+
+.. code-block:: python
+
+    import dask_image.ndfilters
+    blurred_image = dask_image.ndfilters.gaussian_filter(images, sigma=10)
+
+
+Many other functions can be applied to dask arrays.
+See the dask_array_documentation_ for more detail on general array operations.
+
+.. _dask_array_documentation: http://docs.dask.org/en/latest/array.html
+
+.. code-block:: python
+
+    result = function_name(images)
+
+
+Further Reading
+---------------
+
+Good places to start include:
+
+* The dask-image API documentation: http://image.dask.org/en/latest/api.html
+* The documentation on working with dask arrays: http://docs.dask.org/en/latest/array.html